Google Ads connector

Automate Google Ads Campaigns and Sync Ad Performance Data Across Your Stack

Connect Google Ads to your CRM, analytics tools, and data warehouse to close the loop between ad spend and revenue.

What can you do with the Google Ads connector?

Google Ads drives traffic and leads for millions of businesses, but getting useful performance data out of it — and acting on it quickly — requires more than the native interface can handle. Connect Google Ads to your CRM, BI tools, and marketing automation platform and your team can automate bid adjustments, sync conversion data, and route leads without manual exports. With tray.ai, you can build workflows that tie Google Ads to the rest of your stack so campaigns stay optimized and reporting stays accurate.

Automate & integrate Google Ads

Automating Google Ads business process or integrating Google Ads data is made easy with tray.ai

Use case

Automated Lead Sync from Google Ads Lead Form Extensions

Google Ads Lead Form Extensions capture prospects directly in search results, but those leads sit idle until someone manually exports them. With tray.ai, you can automatically push new Lead Form submissions into your CRM, trigger nurture sequences, and notify sales reps in Slack or Teams the moment a lead comes in.

Use case

CRM Conversion Data Sync for Smarter Bidding

Google Ads Smart Bidding is only as good as the conversion data you feed it. Sync offline conversions from your CRM back to Google Ads and the algorithm can optimize for actual closed revenue rather than just form fills. tray.ai automates this pipeline, pulling deal-close events from Salesforce or HubSpot and pushing them as offline conversion adjustments via the Google Ads API.

Use case

Cross-Channel Ad Performance Reporting

Marketing teams waste hours each week pulling performance data from Google Ads, Facebook, LinkedIn, and other channels into spreadsheets for unified reporting. tray.ai can schedule automated pulls of Google Ads campaign metrics and push them into a data warehouse like BigQuery or Snowflake alongside other channel data, so dashboards in Looker or Tableau stay current.

Use case

Budget Pacing Alerts and Automated Pause Rules

Overspending a monthly Google Ads budget or letting an underperforming campaign run unchecked are expensive mistakes. tray.ai workflows can monitor campaign spend and performance metrics on a schedule, automatically pausing campaigns that hit budget thresholds or drop below target ROAS, and alerting the marketing team before things get worse.

Use case

Audience List Management and CRM Segment Sync

Keeping Google Ads Customer Match lists current with your latest CRM segments is a lot of ongoing manual work. tray.ai can automatically sync contact lists from Salesforce, HubSpot, or a data warehouse to Google Ads audience lists, so retargeting and exclusion audiences always reflect your most current customer data.

Use case

New Campaign and Ad Group Creation from Product Feeds

E-commerce and retail teams often need to launch campaigns for new product categories or SKUs at scale. tray.ai can watch a product catalog feed or a spreadsheet update and automatically generate new Google Ads campaigns, ad groups, and keywords using the Google Ads API, cutting campaign setup time from days to minutes.

Use case

AI-Powered Ad Copy Testing and Performance Feedback Loops

Testing ad copy variations at scale is tedious when done manually. tray.ai can connect an AI service like OpenAI to generate headline and description variations, push them as Responsive Search Ad assets to Google Ads, monitor their performance, and feed results back into a loop that informs the next round of copy generation.

Build Google Ads Agents

Give agents secure and governed access to Google Ads through Agent Builder and Agent Gateway for MCP.

Data Source

Retrieve Campaign Performance Metrics

Pull impressions, clicks, conversions, and cost data across campaigns to give an agent current context on ad performance. Useful for generating reports, identifying underperforming campaigns, or informing budget decisions.

Data Source

Fetch Ad Group Details

Retrieve ad group configurations, targeting settings, and performance stats so an agent can analyze audience segmentation and keyword grouping effectiveness.

Data Source

Look Up Keyword Performance

Query keyword-level metrics such as quality score, average CPC, and conversion rate so an agent can identify wasteful keywords, spot the ones pulling their weight, and recommend what to do about either.

Data Source

Pull Budget and Spend Data

Access current budget allocations and actual spend across campaigns so an agent can flag overspending, forecast end-of-month costs, or trigger budget adjustment workflows.

Data Source

Retrieve Audience and Targeting Segments

Fetch audience lists, geographic targets, and demographic settings so an agent can evaluate targeting strategies and recommend refinements based on performance data.

Agent Tool

Create or Update Campaigns

Launch new ad campaigns or modify existing ones — names, statuses, bidding strategies, budgets — so an agent can act on strategic decisions without waiting on manual intervention.

Agent Tool

Manage Ad Groups

Create, update, or pause ad groups within a campaign, letting an agent restructure targeting or respond to performance signals automatically.

Agent Tool

Add or Update Keywords

Insert new keywords into ad groups or update match types and bids on existing ones, so an agent can keep keyword strategy in sync with real-time data.

Agent Tool

Adjust Bids Automatically

Modify CPC or target CPA bids at the keyword or ad group level, letting an agent act on conversion trends or budget thresholds without waiting for a human to notice.

Agent Tool

Pause or Enable Ads

Change the status of individual ads or entire campaigns, so an agent can pull underperforming creatives or activate scheduled promotions without human involvement.

Agent Tool

Create Responsive Search Ads

Generate and submit new responsive search ad creatives with headlines and descriptions, so an agent can test new messaging based on what the performance data is actually saying.

Agent Tool

Update Campaign Budgets

Adjust daily or shared budgets across campaigns so an agent can shift spend toward top-performing campaigns or stop a budget from running dry mid-day.

Get started with our Google Ads connector today

If you would like to get started with the tray.ai Google Ads connector today then speak to one of our team.

Google Ads Challenges

What challenges are there when working with Google Ads and how will using Tray.ai help?

Challenge

Navigating Google Ads API Complexity and Authentication

The Google Ads API requires OAuth 2.0 setup, developer tokens, manager account configurations, and GAQL query syntax knowledge. For teams without dedicated engineering resources, even basic data pulls or campaign updates can take significant setup time and ongoing maintenance to keep running.

How Tray.ai Can Help:

tray.ai handles Google Ads OAuth authentication and token refresh natively, with pre-built connector operations that take care of the API complexity for you. Teams can build workflows using point-and-click configuration without writing GAQL queries from scratch or worrying about credential rotation.

Challenge

Keeping Audience Lists and Conversion Data Fresh

Customer Match lists and offline conversion uploads lose value fast if they're not refreshed regularly. Most teams rely on manual processes — downloading CSVs from a CRM and uploading them to Google Ads — which introduces lag, human error, and missed updates that hurt campaign performance.

How Tray.ai Can Help:

tray.ai runs fully automated, scheduled sync workflows that pull current data from CRM systems and push it directly to Google Ads audience lists or conversion upload endpoints. Schedules are configurable from hourly to weekly, and error handling ensures failed syncs trigger alerts rather than silent data gaps.

Challenge

Unifying Google Ads Data with Other Marketing Channels

Google Ads data lives in isolation from Facebook Ads, LinkedIn, email metrics, and CRM pipeline data. Without a unified data layer, attribution is incomplete and budget allocation decisions get made on partial information.

How Tray.ai Can Help:

tray.ai can orchestrate multi-source data pipelines that pull metrics from Google Ads alongside other ad platforms and push normalized data into a central warehouse like BigQuery or Snowflake. Analytics teams get a single source of truth for cross-channel performance without writing custom ETL code.

Challenge

Acting on Performance Signals Without Constant Manual Monitoring

Campaign managers can't watch dashboards around the clock. Budget overruns, sudden drops in conversion rate, or Quality Score changes often go unnoticed until end of day or end of billing period — by which point real money has already been wasted.

How Tray.ai Can Help:

tray.ai workflows can poll Google Ads performance metrics on any schedule and apply conditional logic to trigger automated actions — pausing campaigns, adjusting bids, or firing alerts — the moment a threshold is crossed. It's a way to turn reactive campaign management into something that actually runs on its own.

Challenge

Scaling Campaign Operations Without Scaling Headcount

As businesses grow their Google Ads presence across multiple products, regions, or client accounts, the manual work of creating campaigns, updating ad copy, and managing structures grows with it. At some point that bottleneck starts limiting what the team can actually ship.

How Tray.ai Can Help:

tray.ai supports template-driven campaign creation workflows that can programmatically generate campaigns, ad groups, and ads from product feeds, CRM data, or spreadsheets. Combined with AI connectors for copy generation, teams can take on a lot more Google Ads volume without adding manual work per campaign.

Talk to our team to learn how to connect Google Ads with your stack

Find the tray.ai connector with one of the 700+ other connectors in the tray.ai connector library to integrate your stack.

Integrate Google Ads With Your Stack

The Tray.ai connector library can help you integrate Google Ads with the rest of your stack. See what Tray.ai can help you integrate Google Ads with.

Start using our pre-built Google Ads templates today

Start from scratch or use one of our pre-built Google Ads templates to quickly solve your most common use cases.

Google Ads Templates

Find pre-built Google Ads solutions for common use cases

Browse all templates

Template

Google Ads Lead Form to Salesforce + Slack Alert

Automatically captures new Google Ads Lead Form Extension submissions, creates or updates a Lead record in Salesforce with UTM and campaign data, and posts a real-time notification to a designated Slack channel.

Steps:

  • Trigger on new Google Ads Lead Form submission via polling or webhook
  • Map lead fields (name, email, phone, campaign ID) and create a Lead record in Salesforce
  • Post a formatted Slack message to the sales channel with lead details and a Salesforce deep link

Connectors Used: Google Ads, Salesforce, Slack

Template

Offline Conversion Upload from HubSpot Closed-Won Deals

Monitors HubSpot for deals moved to Closed-Won, retrieves the associated Google Click ID stored at lead capture, and pushes an offline conversion event back to Google Ads to improve Smart Bidding optimization.

Steps:

  • Trigger when a HubSpot deal stage changes to Closed-Won
  • Retrieve the GCLID and deal value stored on the associated contact record
  • Upload an offline conversion event to Google Ads via the ConversionUploadService API

Connectors Used: HubSpot, Google Ads

Template

Google Ads Performance Data to BigQuery Daily Report

Runs on a nightly schedule to pull campaign, ad group, and keyword performance metrics from Google Ads and append them to a BigQuery table, keeping your data warehouse and connected BI dashboards current.

Steps:

  • Trigger on a nightly schedule (e.g., 2 AM)
  • Query Google Ads Reporting API for previous day campaign metrics including impressions, clicks, cost, and conversions
  • Append rows to the corresponding BigQuery table with date-partitioned schema

Connectors Used: Google Ads, Google BigQuery

Template

CRM Segment to Google Ads Customer Match Audience Sync

Pulls a filtered segment of contacts from Salesforce or HubSpot on a weekly basis and syncs the hashed email list to a Google Ads Customer Match audience, keeping retargeting and exclusion lists accurate.

Steps:

  • Trigger on a weekly schedule or on CRM list membership change
  • Retrieve the filtered contact segment and hash email addresses per Google requirements
  • Use the Google Ads API UserDataService to add or remove members from the target Customer Match list

Connectors Used: Salesforce, Google Ads

Template

Underperforming Campaign Auto-Pause with Email Alert

Runs hourly to check campaign ROAS and spend metrics, automatically pauses any campaign that exceeds daily budget or falls below a ROAS threshold, and sends a summary email to the marketing team.

Steps:

  • Trigger on an hourly schedule and query current campaign spend and conversion value via Google Ads API
  • Evaluate each campaign against configurable ROAS and budget thresholds using conditional logic
  • Pause failing campaigns via the Google Ads API and send a Gmail summary listing which campaigns were paused and why

Connectors Used: Google Ads, Gmail

Template

AI Ad Copy Generator and RSA Upload

Uses OpenAI to generate Responsive Search Ad headline and description variations from a product brief stored in a Google Sheet, then pushes the new ad assets directly to specified Google Ads ad groups.

Steps:

  • Trigger when a new row is added to a Google Sheet containing product name, URL, and key selling points
  • Send the brief to OpenAI to generate 15 headlines and 4 descriptions following Google's character limits
  • Create a new Responsive Search Ad in the designated Google Ads ad group via the API

Connectors Used: Google Sheets, OpenAI, Google Ads